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Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving


Jan 26, 2021
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun


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A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization


Jan 22, 2021
Ming Liang, Kui Xue, Tong Ruan


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LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting


Jan 17, 2021
Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun


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PLUME: Efficient 3D Object Detection from Stereo Images


Jan 17, 2021
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun


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Auto4D: Learning to Label 4D Objects from Sequential Point Clouds


Jan 17, 2021
Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun


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Learning Joint 2D-3D Representations for Depth Completion


Dec 22, 2020
Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun

* ICCV 2019 

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Multi-Task Multi-Sensor Fusion for 3D Object Detection


Dec 22, 2020
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun

* CVPR 2019 

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HDNET: Exploiting HD Maps for 3D Object Detection


Dec 21, 2020
Bin Yang, Ming Liang, Raquel Urtasun

* Spotlight paper at 2nd Conference on Robot Learning (CoRL 2018) 

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Deep Continuous Fusion for Multi-Sensor 3D Object Detection


Dec 20, 2020
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun

* ECCV 2018 

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Recovering and Simulating Pedestrians in the Wild


Nov 16, 2020
Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

* CoRL 2020 

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Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving


Nov 02, 2020
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun


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V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction


Aug 17, 2020
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun

* ECCV 2020 (Oral) 

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Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction


Aug 13, 2020
Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun

* ECCV 2020 

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End-to-end Contextual Perception and Prediction with Interaction Transformer


Aug 13, 2020
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun

* IROS 2020 

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RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects


Jul 28, 2020
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun

* ECCV 2020 

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Learning Lane Graph Representations for Motion Forecasting


Jul 27, 2020
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun

* ECCV 2020 Oral 

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PnPNet: End-to-End Perception and Prediction with Tracking in the Loop


Jun 27, 2020
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun

* CVPR2020 

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FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets


Apr 03, 2020
Ming Liang, Yao Meng, Jiyu Wang, David Lubkeman, Ning Lu

* submitted to IEEE Trans. on Smart Grid 

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Physically Realizable Adversarial Examples for LiDAR Object Detection


Apr 02, 2020
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun

* Accepted to CVPR 2020 

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Identifying Unknown Instances for Autonomous Driving


Oct 24, 2019
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun

* 3rd Conference on Robot Learning (CoRL 2019) 

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Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser


May 08, 2018
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu

* CVPR 2018 

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Adversarial Attacks and Defences Competition


Mar 31, 2018
Alexey Kurakin, Ian Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe

* 36 pages, 10 figures 

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Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network


Nov 22, 2017
Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song

* 12 pages, 9 figures 

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